Latest AI and machine learning research in military medicine for healthcare professionals.
Background: A conversation between a victim and a perpetrator of sexual abuse has the potential to reduce posttraumatic stress disorder (PTSD) symptoms in the victim. However, an actual conversation may not always be possible or feasible. Deepfake technology may offer a way to simulate a conversation in a clinical context. Therefore, a feasible, acceptable and potentially effective intervention pr...
BACKGROUND: Real-time warning and prevention of sports injuries are core challenges in the fields of sports medicine and health management. Traditional methods rely on single sensor data and static threshold rules, which have problems such as single monitoring dimension, high false alarm rate, and insufficient real-time performance, making it difficult to meet the precise prevention and control ne...
OBJECTIVES: Large language models (LLMs) are increasingly explored as decision-support tools in medical imaging. However, their ability to align with ...
Research on artificial intelligence (AI) and mental health has focused largely on harms at deployment, including chatbot safety, sycophancy, and AI-as...
Obesity, historically defined by body mass index and waist circumference, is a major risk factor for cardiometabolic complications; however, these ind...
In response to the challenges of insufficient precision and limited safety associated with traditional techniques in the diagnosis and treatment of co...
Reliable and secure transmission of medical images is essential for telemedicine, remote diagnosis, and distributed healthcare systems. However, medic...
In Norway, a national AI platform for radiology was introduced to support coordinated procurement, deployment, and scaling across all health regions. ...
The convergence of AI, robotics, and 6G networks is reshaping healthcare through real-time This paper applies a structured regulatory-technical analys...
PURPOSE OF REVIEW: Artificial intelligence (AI) is poised to transform heart failure (HF) care across the clinical continuum, yet a substantial gap re...
BACKGROUND: Colorectal cancer (CRC) is a leading cause of cancer morbidity and mortality worldwide. The complexity of guideline-concordant care and un...
Dysphagia presents a serious risk of aspiration that requires continuous monitoring. This study introduces standardized 2Â s voice segments for aspirat...
Timely activation of massive hemorrhage protocols (MHP) is critical to prevent exsanguination and improve survival in trauma patients. Current clinica...
Recent years have seen a surge in the development of Artificial Intelligence (AI) technologies to enhance intraoperative decision-making and improve p...
Improving overall health and preventing complications is crucial for timely and effective treatment of diabetes patients. In this direction, accurate ...
PURPOSE: To develop a multisource machine learning model for detecting referral-warranted retinopathy of prematurity (RW-ROP) using retinal images and...
BACKGROUND: Growing evidence suggests that disruptions in rest-activity rhythms may serve as relevant markers of posttraumatic stress disorder (PTSD)....
Objective.Miniature electrocardiogram (ECG) devices can rapidly and accurately acquire real-time cardiac signals, enabling timely warnings for patient...
Infrared (IR) and visible (VI) image fusion aims to integrate complementary information from heterogeneous modalities to enhance visual perception in ...
The process of migration of IoMT systems in healthcare into post-quantum cryptographic systems is expected to be a gradual one. Here, existing ECC-bas...